CN110109442A - A kind of EMS terminal equipment failure remote diagnosis method based on various dimensions statistics - Google Patents
A kind of EMS terminal equipment failure remote diagnosis method based on various dimensions statistics Download PDFInfo
- Publication number
- CN110109442A CN110109442A CN201910314247.3A CN201910314247A CN110109442A CN 110109442 A CN110109442 A CN 110109442A CN 201910314247 A CN201910314247 A CN 201910314247A CN 110109442 A CN110109442 A CN 110109442A
- Authority
- CN
- China
- Prior art keywords
- ems
- diagnosed
- acc
- abnormal
- next step
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
Abstract
The invention discloses a kind of EMS terminal equipment failure remote diagnosis methods based on various dimensions statistics, wherein, fault type be divided into not connected platform, ACC abnormal state, equipment remove, the acc abnormal state of master-slave equipment, without EMS data, mileage is abnormal, oil consumption is abnormal, speed is abnormal, diagnostic method of the invention definitely, is conducive to accurately position the reason of being out of order to abnormal classification；Logic is more careful, it is diagnosable go out it is more abnormal, can more rapidly by the combination with big data, more accurately positioning failure reason.
Description
Technical field
The present invention relates to Diagnosis Technique field, specially a kind of EMS terminal device based on various dimensions statistics
Remote Fault Diagnosis method.
Background technique
Engine management system (Engine Management System, abbreviation EMS) not only can accurately control fuel oil
Supply amount to replace traditional carburetor, and can control ignition advance angle and idling air mass flow etc., greatly improve
Engine performance.On the Hyundai Motor using gasoline engine as power, engine management system is with its low emission, low oil consumption, Gao Gong
The advantages that rate and rapidly developed, and become increasingly popular.EMS uses various sensors, engine inhaled air volume, cooling water
The situations such as temperature, engine speed and acceleration and deceleration are converted into electric signal, are sent into controller.Controller believes these information and storage
Breath compares, output control signal after accurately calculating.EMS not only can accurately control fuel supply volume, to replace traditional carburetion
Device, and can control ignition advance angle and idling air mass flow etc., greatly improve engine performance；Pass through oil spout and point
The accurate control of fire, can reduce pollutant emission 50%；If using lambda sensor and three-way catalytic converter, in λ=1
In one narrow range, 90% or more toxic discharge can be reduced.Within the scope of idle speed adjustment, due to using idle speed adjustment
Device, idling speed reduce about 100~150rpm, and oil consumption is made to obtain further declining 3~4%.If using knock control,
Engine power 3~5% can be improved in range at full capacity, and be suitable for the fuel oil of different qualities；With being discharged in world wide
Regulation it is increasingly strict, irresistible trend is had become using EMS system.
Engine management system connects engine CAN bus by smart/ctbox equipment and generates to obtain engine
Data, and by the presentation of data visualization.CAN is controller LAN, makes to hand between vehicle-mounted each electronic control unit and ECU
Information is changed, electronic control network of automobile is formed.By EMS equipment, the basic datas such as speed, revolving speed oil consumption can be got.With
The high speed development of technology of Internet of things, in conjunction with the increasingly healthy and strong of big data, EMS terminal fault remote Diagnosis Technology can more be accelerated
The failure of fast, accurate positioning device, by the statistics of various dimensions, the reason of finding out equipment fault.Equipment fault is long-range at present
Diagnosis efficiency is low.
Summary of the invention
The purpose of the present invention is to provide it is a kind of based on various dimensions statistics EMS terminal equipment failure remote diagnosis method,
To solve the problems mentioned in the above background technology.
To achieve the above object, the invention provides the following technical scheme: a kind of EMS terminal device based on various dimensions statistics
Remote Fault Diagnosis method, comprising the following steps:
A, judge whether same day EMS mileage is greater than whether 10KM or GPS mileage is greater than 10KM, if it is not, being then diagnosed as not connecting
Connect platform；If so, entering in next step；
B, whether there is or not ACC state changes for judgement same day main equipment, if it is not, being then diagnosed as main equipment ACC abnormal state；If so,
Then enter in next step；
C, judge whether it is 11 and 41 equipment started, if it is not, F is then entered step, if so, entering in next step；
D, judge whether same day temperature control number of data is greater than 0, if it is not, equipment removal is then diagnosed as, if so, into next
Step；
E, judging whether the acc number of main equipment acc and ctbox are identical, (temperature control data and acc instruction are one, there is change
Change as primary, reach pass or close to opening), if it is not, the acc abnormal state of master-slave equipment is then diagnosed as, if so, into next
Step.
Preferably, further comprising the steps of:
F, judge whether to meet no EMS data, if it is not, no EMS data are then diagnosed as, if so, entering in next step；
G, judge whether to meet EMS mileage exception, if it is not, mileage exception is then diagnosed as, if so, entering in next step.
Preferably, further comprising the steps of:
H, judge whether to meet oil consumption condition, if it is not, oil consumption exception is then diagnosed as, if so, entering in next step；
I, judge whether to meet speed condition, if it is not, speed exception is then diagnosed as, if so, it is normal to be diagnosed as vehicle.
Preferably, the fault type is divided into the acc of not connected platform, ACC abnormal state, equipment removal, master-slave equipment
Abnormal state, without EMS data, mileage is abnormal, oil consumption is abnormal, speed is abnormal.
Compared with prior art, the beneficial effects of the present invention are: diagnostic method of the invention is brighter to abnormal classification
Really, be conducive to accurately position the reason of being out of order；Logic is more careful, it is diagnosable go out it is more abnormal, by and big data
Combination, can more rapidly, more accurately positioning failure reason.
Detailed description of the invention
Fig. 1 is diagnostic flow chart of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, the present invention provides a kind of technical solution: the invention provides the following technical scheme: a kind of be based on multidimensional
Spend statistics EMS terminal equipment failure remote diagnosis method, wherein fault type be divided into not connected platform, ACC abnormal state,
Equipment removes, the acc abnormal state of master-slave equipment, without EMS data, mileage is abnormal, oil consumption is abnormal, speed is abnormal including following
Step:
A, judge whether same day EMS mileage is greater than whether 10KM or GPS mileage is greater than 10KM, if it is not, being then diagnosed as not connecting
Connect platform；If so, entering in next step；
B, whether there is or not ACC state changes for judgement same day main equipment, if it is not, being then diagnosed as main equipment ACC abnormal state；If so,
Then enter in next step；
C, judge whether it is 11 and 41 equipment started, if it is not, F is then entered step, if so, entering in next step；
D, judge whether same day temperature control number of data is greater than 0, if it is not, equipment removal is then diagnosed as, if so, into next
Step；
E, judging whether the acc number of main equipment acc and ctbox are identical, (temperature control data and acc instruction are one, there is change
Change as primary, reach pass or close to opening), if it is not, the acc abnormal state of master-slave equipment is then diagnosed as, if so, into next
Step.
It is further comprising the steps of in the present invention:
F, judge whether to meet no EMS data, if it is not, no EMS data are then diagnosed as, if so, entering in next step；
G, judge whether to meet EMS mileage exception, if it is not, mileage exception is then diagnosed as, if so, entering in next step.
It is further comprising the steps of in the present invention:
H, judge whether to meet oil consumption condition, if it is not, oil consumption exception is then diagnosed as, if so, entering in next step；
I, judge whether to meet speed condition, if it is not, speed exception is then diagnosed as, if so, it is normal to be diagnosed as vehicle.
In conclusion diagnostic method of the invention to abnormal classification definitely, be conducive to accurately position and be out of order
The reason of；Logic is more careful, diagnosable more abnormal out, can be more rapidly more fixed by the combination with big data
Position failure cause.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (4)
1. a kind of EMS terminal equipment failure remote diagnosis method based on various dimensions statistics, it is characterised in that: including following step
It is rapid:
A, judge whether same day EMS mileage is greater than whether 10KM or GPS mileage is greater than 10KM, if it is not, being then diagnosed as not connected flat
Platform；If so, entering in next step；
B, whether there is or not ACC state changes for judgement same day main equipment, if it is not, being then diagnosed as main equipment ACC abnormal state；If so, into
Enter in next step；
C, judge whether it is 11 and 41 equipment started, if it is not, F is then entered step, if so, entering in next step；
D, judge whether same day temperature control number of data is greater than 0, if it is not, equipment removal is then diagnosed as, if so, entering in next step；
E, judging whether the acc number of main equipment acc and ctbox are identical, (temperature control data and acc instruction are one, are changed i.e.
Be it is primary, reach pass or close to opening), if it is not, the acc abnormal state of master-slave equipment is then diagnosed as, if so, entering next step.
2. a kind of EMS terminal equipment failure remote diagnosis method based on various dimensions statistics according to claim 1, special
Sign is: further comprising the steps of:
F, judge whether to meet no EMS data, if it is not, no EMS data are then diagnosed as, if so, entering in next step；
G, judge whether to meet EMS mileage exception, if it is not, mileage exception is then diagnosed as, if so, entering in next step.
3. a kind of EMS terminal equipment failure remote diagnosis method based on various dimensions statistics according to claim 2, special
Sign is: further comprising the steps of:
H, judge whether to meet oil consumption condition, if it is not, oil consumption exception is then diagnosed as, if so, entering in next step；
I, judge whether to meet speed condition, if it is not, speed exception is then diagnosed as, if so, it is normal to be diagnosed as vehicle.
4. a kind of EMS terminal equipment failure remote diagnosis method based on various dimensions statistics according to claim 1, special
Sign is: the fault type be divided into not connected platform, ACC abnormal state, equipment remove, the acc abnormal state of master-slave equipment,
Without EMS data, mileage is abnormal, oil consumption is abnormal, speed is abnormal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910314247.3A CN110109442A (en) | 2019-04-18 | 2019-04-18 | A kind of EMS terminal equipment failure remote diagnosis method based on various dimensions statistics |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910314247.3A CN110109442A (en) | 2019-04-18 | 2019-04-18 | A kind of EMS terminal equipment failure remote diagnosis method based on various dimensions statistics |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110109442A true CN110109442A (en) | 2019-08-09 |
Family
ID=67485824
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910314247.3A Withdrawn CN110109442A (en) | 2019-04-18 | 2019-04-18 | A kind of EMS terminal equipment failure remote diagnosis method based on various dimensions statistics |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110109442A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110672123A (en) * | 2019-09-27 | 2020-01-10 | 吉旗（成都）科技有限公司 | Deviation correcting method and device for mileage |
-
2019
- 2019-04-18 CN CN201910314247.3A patent/CN110109442A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110672123A (en) * | 2019-09-27 | 2020-01-10 | 吉旗（成都）科技有限公司 | Deviation correcting method and device for mileage |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102116191B (en) | Oxygen sensor aging diagnosing method | |
| Isermann | Combustion engine diagnosis | |
| US11078822B2 (en) | Method for operating an internal combustion engine installed in a vehicle | |
| CN104919298B (en) | Explosive motor based on exhaust manifold pressure misfires detection | |
| CN102602294B (en) | Method and device for displaying fuel economy state of car engine | |
| CN102116241A (en) | Method for diagnosing accidental fire of gasoline engine | |
| CN103352764A (en) | Engine electronic fuel injection control system based on torque control | |
| CN101105427B (en) | Three way catalytic converter critical aging test method | |
| CN201583406U (en) | Fault diagnosis system of electronic fuel injection engine | |
| Martin et al. | Responsiveness of a 30 bar BMEP 3-cylinder engine: Opportunities and limits of turbocharged downsizing | |
| CN111890927A (en) | Heavy vehicle driving performance limiting method | |
| CN110109442A (en) | A kind of EMS terminal equipment failure remote diagnosis method based on various dimensions statistics | |
| CN110962855A (en) | Torque control system and method for extended range automobile engine | |
| CN202900475U (en) | Intelligent double-circuit air inlet unit of supercharged engine | |
| CN104697594A (en) | General fuel consumption calculation method for automobile | |
| CN201241760Y (en) | Light vehicle electric spray petrol engine management system satisfying national III discharge standard | |
| CN108798849A (en) | Vehicle catalyst converter idling diagnostic system and method | |
| CN116220933A (en) | EGR pump control method and device, vehicle and storage medium | |
| CN114962031B (en) | Method and system for detecting coking of pipeline of air inlet system of internal combustion engine and vehicle | |
| CN110410222A (en) | The judgment method and equipment of throttle opening failure | |
| CN114635795B (en) | Method for monitoring fire of hybrid electric vehicle and hybrid electric vehicle | |
| Weinhold et al. | Embedded model-based fault diagnosis for on-board diagnosis of engine control systems | |
| CN201129219Y (en) | Electro-spraying engine for pedal motorcycle | |
| CN108506138B (en) | Ignition control method and system of vehicle and vehicle | |
| Wang et al. | A research on the RDE and WLTC cycle emission characteristics of hybrid electric vehicle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20190809 |
|
| WW01 | Invention patent application withdrawn after publication |